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An example of a
two-dimensional Fourier transform
of a pulse is shown in Figure 10.
ft2dofpulse
Figure 9
A broadened pulse (left) and the real part of its FT (right).
Notice the location of the pulse.
It is closer to the time axis than the frequency axis.
This will affect the real part of the FT in a certain way
(see exercises).
Notice the broadening of the pulse.
It was an impulse smoothed over time (vertically) by convolution
with (1,1) and over space (horizontally) with (1,4,6,4,1).
This will affect the real part of the FT in another way.
Another example of a two-dimensional Fourier transform
is given in Figure 11.
This example simulates an impulsive air wave originating at a point
on the x-axis.
We see a wave propagating in each direction
from the location of the source of the wave.
In Fourier space there are also two lines, one for each wave.
Notice that there are other lines which do not go through the origin;
these lines are called ``spatial aliases.''
Each actually goes through the origin
of another square plane that is not shown,
but which we can imagine alongside the one shown.
These other planes are periodic replicas of the one shown.
airwave
Figure 10
A simulated air wave (left) and the amplitude of its FT (right).
EXERCISES:
-
Write ftlag() starting from ftlagslow() and fth().
-
Most time functions are real.
Their imaginary part is zero.
Show that this means that can
be determined from .
-
What would change in Figure 10
if the pulse were moved
(a) earlier on the t-axis, and
(b) further on the x-axis?
What would change in Figure 10
if instead
the time axis were smoothed with (1,4,6,4,1)
and the space axis with (1,1)?
-
What would Figure 11
look like on an earth with half the earth velocity?
-
Numerically (or theoretically)
compute the two-dimensional spectrum
of a plane wave [], where
the plane wave has a randomly fluctuating amplitude:
say, rand(x) is a random number between ,and the randomly modulated plane wave is
[].
-
Explain the horizontal ``layering'' in Figure 9
in the plot of .What determines the ``layer'' separation?
What determines the ``layer'' slope?
Next: HOW FAST FOURIER TRANSFORM
Up: TWO-DIMENSIONAL FT
Previous: Signs in Fourier transforms
Stanford Exploration Project
10/21/1998